- Design build and optimize high-volume high-performance ELT pipelines for centralized data warehousing
- Collaborate with Product Managers ML Engineers Data Scientists and DevOps to define and enforce a reliable scalable and secure data platform architecture
- Ensure adherence to data warehousing standards data quality best practices and metadata management processes
- Take responsibility for assigned data warehouse components contributing to enhancements in performance and reliability
- Conduct architecture reviews and participate in system design discussions to provide technical input
- Support and collaborate with peers sharing knowledge and promoting a culture of quality and continuous learning
Qualifications :
- At least 3-4 years of experience in data engineering building scalable data systems and pipelines
- Strong SQL skills
- Working proficiency in Python
- Experience building or maintaining data pipelines and working with a data warehouse or analytics stack
- Strong computer science fundamentals
- Knowledge of system architecture with emphasis on reliability availability and performance
- Focus on delivering production-ready solutions
- Attention to detail and commitment to data quality
- Clear communication skills
- Comfortable working in a fast-paced evolving environment
- Upper-Intermediate level of spoken and written English
Additional Information :
PERSONAL PROFILE:
- Proactive and detail-oriented approach
- Ability to take ownership of complex data systems
- Passion for data quality and continuous improvement
- Strong mentoring and collaboration skills
- Adaptability in fast-paced project environments
Remote Work :
Yes
Employment Type :
Full-time
Design build and optimize high-volume high-performance ELT pipelines for centralized data warehousingCollaborate with Product Managers ML Engineers Data Scientists and DevOps to define and enforce a reliable scalable and secure data platform architectureEnsure adherence to data warehousing standards...
- Design build and optimize high-volume high-performance ELT pipelines for centralized data warehousing
- Collaborate with Product Managers ML Engineers Data Scientists and DevOps to define and enforce a reliable scalable and secure data platform architecture
- Ensure adherence to data warehousing standards data quality best practices and metadata management processes
- Take responsibility for assigned data warehouse components contributing to enhancements in performance and reliability
- Conduct architecture reviews and participate in system design discussions to provide technical input
- Support and collaborate with peers sharing knowledge and promoting a culture of quality and continuous learning
Qualifications :
- At least 3-4 years of experience in data engineering building scalable data systems and pipelines
- Strong SQL skills
- Working proficiency in Python
- Experience building or maintaining data pipelines and working with a data warehouse or analytics stack
- Strong computer science fundamentals
- Knowledge of system architecture with emphasis on reliability availability and performance
- Focus on delivering production-ready solutions
- Attention to detail and commitment to data quality
- Clear communication skills
- Comfortable working in a fast-paced evolving environment
- Upper-Intermediate level of spoken and written English
Additional Information :
PERSONAL PROFILE:
- Proactive and detail-oriented approach
- Ability to take ownership of complex data systems
- Passion for data quality and continuous improvement
- Strong mentoring and collaboration skills
- Adaptability in fast-paced project environments
Remote Work :
Yes
Employment Type :
Full-time
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